Olusegun Banji

With over 3 years of experience building high-performance Next.js frontends and scalable Python backends, I am excited to apply for the Full Stack Engineer (Python/Django Backend & Next.js Frontend) position that matches me. I specialize in architecting robust microservices, integrating AI engines like GPT-3 into production applications, and optimizing frontend performance using server-side rendering. Leveraging expertise in AWS, PostgreSQL, and Kubernetes, I am eager to help Lorgarithm scale its athletes' marketplace infrastructure and deliver seamless user experiences.

Full Stack Research Engineer at MangoZestLab (2023-09 – Present)

Architected backend microservices and AI infrastructure for a Virtual Call Center using Python, improving automated call routing efficiency by [EST] 30%. Spearheaded the technical migration strategy from legacy systems to a self-hosted AI engine, ensuring seamless API integration and zero downtime. Partnered with product and design teams to integrate LLM capabilities into the core platform, reducing feature time-to-market by [EST] 20%.

Designed a scalable system architecture for a self-hosted AI engine, optimizing data pipelines to handle [EST] 10,000+ daily queries with sub-second latency.

• Architected backend microservices and AI infrastructure for a Virtual Call Center using Python, improving automated call routing efficiency by [EST] 30%.
• Spearheaded the technical migration strategy from legacy systems to a self-hosted AI engine, ensuring seamless API integration and zero downtime.
• Partnered with product and design teams to integrate LLM capabilities into the core platform, reducing feature time-to-market by [EST] 20%.
• Designed a scalable system architecture for a self-hosted AI engine, optimizing data pipelines to handle [EST] 10,000+ daily queries with sub-second latency.

Fullstack Engineer at Cospire (2023-01 – Present)

Optimized backend routing system using Python and microservices, reducing latency by 45% and improving response times significantly. Integrated 7 third-party APIs (including Brevo, Firebase functions, Google Maps, and Single Sign-On) into a microservices architecture, enabling seamless platform capabilities. Spearheaded the development of a revenue-generating multi-step form system, leading to a 50% increase in booking completion rates and generating a 20% rise in overall revenue.

Led the successful implementation of a pivotal feature in MVP 2, driving the acquisition of the initial 10 sign-ups and securing partnerships with leading co-working spaces.

• Optimized backend routing system using Python and microservices, reducing latency by 45% and improving response times significantly.
• Integrated 7 third-party APIs (including Brevo, Firebase functions, Google Maps, and Single Sign-On) into a microservices architecture, enabling seamless platform capabilities.
• Spearheaded the development of a revenue-generating multi-step form system, leading to a 50% increase in booking completion rates and generating a 20% rise in overall revenue.
• Led the successful implementation of a pivotal feature in MVP 2, driving the acquisition of the initial 10 sign-ups and securing partnerships with leading co-working spaces.

Fullstack Developer at CISRG (2021-03 – 2022-11)

Mentored a team of 4 junior researchers in Python and ML best practices, accelerating project delivery timelines by 100% during my leadership. Conceptualized and deployed a bespoke conversational Artificial Intelligence chatbot API with advanced GPT-2 capabilities, seamlessly integrating it with Facebook Log-in, Messenger API, and Telegram API.

Implemented

Flask with Machine Learning algorithms and integrated Firebase, Apollo, PostgreSQL, and Research Computing to ensure robust and secure authentication, achieving top 15% ranking among external evaluations.

• Mentored a team of 4 junior researchers in Python and ML best practices, accelerating project delivery timelines by 100% during my leadership.
• Conceptualized and deployed a bespoke conversational Artificial Intelligence chatbot API with advanced GPT-2 capabilities, seamlessly integrating it with Facebook Log-in, Messenger API, and Telegram API.
• Implemented Flask with Machine Learning algorithms and integrated Firebase, Apollo, PostgreSQL, and Research Computing to ensure robust and secure authentication, achieving top 15% ranking among external evaluations.

Software Engineer (Volunteer) at Indigitous (2021-02 – 2023-01)

Developed a real-time chat interface using Next.js and WebSockets, integrating OAuth 2.0 to streamline onboarding and increase user retention by 20%. Engineered a comprehensive requirements strategy, securing 8th position in a global hackathon of over 50 cities through adept technical collaboration. Implemented Server-Side Rendering (SSR) using Next.js, improving page load times by 45% and developing a sophisticated social-media-like data model.

• Developed a real-time chat interface using Next.js and WebSockets, integrating OAuth 2.0 to streamline onboarding and increase user retention by 20%.
• Engineered a comprehensive requirements strategy, securing 8th position in a global hackathon of over 50 cities through adept technical collaboration.
• Implemented Server-Side Rendering (SSR) using Next.js, improving page load times by 45% and developing a sophisticated social-media-like data model.

Bachelor of Science in Computer Science with Economics – Obafemi Awolowo University (2019-09 – 2024-05)

Masters of Science in Software Engineering – Quantic School of Business and Technology (2025-09 – 2026-10)